Key feature extraction for probabilistic categorization of human motion patterns

  title={Key feature extraction for probabilistic categorization of human motion patterns},
  author={Wataru Takano and Hiroaki Tanie and Yoshihiko Nakamura},
  journal={ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005.},
Mimesis is a hypothesis that human intelligence originated where motion recognition and motion generation interact through imitation. We previously proposed the mathematical model of mimesis using hidden Markov models (HMM) and constructed the proto symbol space from parameters of each HMM. The proto symbol space included only 10 motion patterns. No attention was paid on the relationship between behavior pattern and parts of body. It is common that a human observer pays an attention to the… CONTINUE READING


Publications referenced by this paper.

An Approach from Motion Generation Recognition to Intelligence based on Mimesis Principle

  • T. Inamura, H. Tanie, I. Toshima, Y. Nakamura
  • Proceedings of the 2nd International Symposium on…
  • 2003
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